Taguchi Methods® and Robust Design
Dr. Genichi Taguchi (Taguchi and Wu 1980) described methods for using designed experiments in designing and improving products and processes. The Taguchi approach differs from the methods described in previous chapters, mostly due to their lack of fitting polynomial models to data. Nevertheless, Taguchi methods can be a useful tool in developing product or process designs. We will describe some of the rudiments of his methods, together with some additional ideas. The elements we will consider are the quadratic loss function and signal-to-noise ratios, control and noise parameters, and the designs referred to as orthogonal arrays.
- Barker, T. B. (1990). Engineering quality by design. New York/Milwaukee: Marcel Dekker/Quality Press.Google Scholar
- Fowlkes, W. Y., & Creveling, C. M. (1995). Engineering methods for robust product design. Reading, MA: Addison-Wesley.Google Scholar
- Montgomery, D. C. (2001). Design and analysis of experiments. New York: Wiley.Google Scholar
- Searle, S. R., Casella, G., & Mcculloch, C. E. (2006). Variance components. John Wiley and Sons, New York.Google Scholar
- Taguchi, G., & Wu, Y. (1980). Introduction to off-line quality control. Nagoya: Central Japan Quality Control Association.Google Scholar